RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
36 topics found for
“computational techniques”
Morphological Analysis
A problem-solving method that explores all possible solutions by examining the structure and relationships of different variables.
Knowledge Engineering
The process of integrating knowledge into computer systems to solve complex problems, often used in AI development.
Empirical Rule
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
Blockchain
A decentralized digital ledger that records transactions across many computers in a way that ensures the security and transparency of data.
Attention Mechanism
A component in neural networks that allows the model to focus on specific parts of the input, improving performance.
Analytics
The systematic computational analysis of data or statistics to understand and improve business performance.
Optimization Theory
The study of finding the best solution from a set of feasible solutions.
Mind Mapping
A visual tool for organizing information, typically starting with a central concept and branching out to related ideas and details.